What is a knowledge graph in the context of T1nker-1220?

The knowledge graph stores information as entities (nodes), relations (connections between entities), and observations (facts about entities). This structured format allows Claude to efficiently retrieve and utilize relevant information.

How does T1nker-1220 help Claude learn from errors?

It uses a 'lesson' system. Lessons capture knowledge about errors, their solutions, and environmental context. Claude can then retrieve and apply these lessons to avoid repeating mistakes, improving performance over time.

T1nker-1220 Memories With Lessons is a developer tool that implements a knowledge graph memory server. This allows Claude to remember user information across conversations and learn from past errors through a lesson system.

How does T1nker-1220 manage large memory files?

To maintain performance, T1nker-1220 automatically splits memory and lesson data into separate files (memory.json and lesson.json) and further splits them if they exceed 1000 lines.

T1nker-1220 Memories With Lessons

Name: T1nker-1220 Memories With Lessons
Author: MCP-Mirror

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Implements a knowledge graph memory server enabling Claude to remember user information and learn from past errors through a lesson system.

This server provides a basic implementation of persistent memory using a local knowledge graph. It enables the Claude AI model to remember information about users across chats and learn from past errors through a lesson system. It utilizes entities, relations, and observations to store information and provides an API with tools for managing these components, along with specific tools for creating, finding, updating, and recommending lessons based on error patterns and solutions. The server manages memory and lesson data in separate files and can be configured with Cursor MCP client and Claude Desktop.

주요 기능

01Creates and manages entities, relations, and observations within a knowledge graph.

020 GitHub stars

03Offers lesson recommendations based on the current context.

04Provides tools for creating, finding similar, and updating the success of lessons.

05Manages memory and lesson data in separate files, splitting them automatically to maintain performance.

06Implements a lesson system for capturing knowledge about errors and their solutions.

사용 사례

01Creating a more context-aware and adaptive conversational AI experience.

02Improving AI model performance by allowing it to learn from past errors and successes.

03Personalizing chatbot interactions by storing user preferences and history.